Xinyi Liu

Worked in corporate underwriting department with focus on geospatial solutions for non-life insurance. • Developed automated map service workflows from raw data using Python • Published map services as ArcGIS Web Applications • Created database, conducted analysis and visualization for large-scale geodata • Maintained and optimized Munich Re’s geocoding engine regarding database quality, global coverage • Won the Innovation Contest IDEACTION with & further developed a waste trading platform named “Wastazon”

Topic: Event Recognition in Drone Video using Deep Learning Methods. • Designed and created the first event recognition drone video dataset: ERA dataset • Contributed over 15 categories with 1500 data items. Application: Video classification task using deep CNN Models

Road data product manager for Baidu Maps. • Contributed to the daily update & maintenance of road data product life cycle for Baidu Maps • Responsible for the QA & QC process of Baidu Map road data. E.g., extracted and updated accident-prone location info from Jinan city traffic cloud data • Implemented an active road data mining method for the top 50 cities in China. Enhanced weekly effective UGC road data items from hundred level to thousand level

This was a TUM and WHU ESPACE double degree program. Research directions: GIS, remote sensing, deep learning Master thesis topic: Multi-attribute Learning for Aerial Video Understanding • Designed a taxonomy of 28 representative video attributes • Created the first multi-attribute aerial drone video database: Multi-attribute ERA Database • Designed and executed a multi-attribute aerial video learning task, in which 4 state-of-the-art video classification deep learning CNN models are evaluated

Research directions: Computer vision and image processing Publication: Liu X. Understanding UAV Aerial Videos from a Multi-attribute Perspective[J]. Scientific and Technological Innovation Information, 2022(4): 41-44

Grade: 3.71 / 4.0 (Equivalent to 92%) Thesis: Geographic Names Localization Based on OpenStreetMap Data Athletics: Ranked top in Women’s 800-meter Races and Women’s Long Jump Competitions